Evidence map›Paper›PMID 29214464›Full record

ArticleEuropean journal of applied physiology2018

Reliability of a semi-automated algorithm for the vastus lateralis muscle architecture measurement based on ultrasound images.

Robert Marzilger, Kirsten Legerlotz, Chrystalla Panteli, Sebastian Bohm, Adamantios Arampatzis

Abstract readEvaluation Study
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Article in European journal of applied physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  9. Muscle forces and fascicle behavior during three hamstring exercises.Scandinavian journal of medicine & science in sports · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Robert MarzilgerDepartment of Training and Movement Sciences, Humboldt-Universität zu Berlin, Philippstr. 13, Haus 11, 10115, Berlin, Germany.
Kirsten LegerlotzDepartment of Training and Movement Sciences, Humboldt-Universität zu Berlin, Philippstr. 13, Haus 11, 10115, Berlin, Germany.
Chrystalla PanteliDepartment of Physical Education and Sport Science, Aristoteles University of Thessaloniki, Thessaloniki, Greece.
Sebastian BohmDepartment of Training and Movement Sciences, Humboldt-Universität zu Berlin, Philippstr. 13, Haus 11, 10115, Berlin, Germany.
Adamantios ArampatzisDepartment of Training and Movement Sciences, Humboldt-Universität zu Berlin, Philippstr. 13, Haus 11, 10115, Berlin, Germany. a.arampatzis@hu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe assessment of muscle architecture with B-mode ultrasound is an established method in muscle physiology and mechanics. There are several manual, semi-automated and automated approaches available for muscle architecture analysis from ultrasound images or videos. However, most approaches have limitations such as workload, subjectivity, drift or they are applicable to short muscle fascicles only. Addressing these issues, an algorithm was developed to analyse architectural parameters of the vastus lateralis muscle (VL).

methodsIn 17 healthy young men and women, ultrasound images were taken five times on two different days during passive knee joint flexion. From the images, fascicle length (FL), pennation angle (PAN) and muscle thickness (MTH) were calculated for both test days using the algorithm. Interday differences were determined using a two-way ANOVA. Interday and intraday reliability were assessed using intraclass correlation coefficients (ICC) and root mean square (RMS) differences.

resultsFL, MTH and PAN did not differ between day one and two. The within day ICCs were above 0.94 for all tested parameters. The average interday ICCs were 0.86 for the FL, 0.96 for MTH and 0.60 for PAN. The average RMS differences between both days were 5.0%, 8.5% and 12.0% for MTH, FL and PAN, respectively.

conclusionThe proposed algorithm provides high measurement reliability. However, the interday reliability might be influenced by small differences in probe position between days.

Indexed as

AdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedKnee JointMaleQuadriceps MuscleReproducibility of ResultsUltrasonographyReliabilitySemi-automated trackingUltrasoundVastus lateralis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.